An Electronic-Nose Sensor Node Based on a Polymer-Coated Surface Acoustic Wave Array for Wireless Sensor Network Applications

Tang, Kea-Tiong; Li, Cheng-Han; Chiu, Shih-Wen

doi:10.3390/s110504609

Cited by 20 publications

(18 citation statements)

References 27 publications

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“…They provide responses combining outputs from arrays of non-specific chemical sensors to produce fingerprints which are often statistically analyzed using multivariate analysis or neural network techniques. 24,25 They are frequently assembled by sets of metal oxide (MOSFET), surface acoustic wave (SAW) 26,27 or quartz crystal microbalance (QCM) 28,29 gas sensors.…”

Section: ■ Introductionmentioning

confidence: 99%

Room Temperature Ionic Liquids As Useful Overlayers for Estimating Food Quality from Their Odor Analysis by Quartz Crystal Microbalance Measurements

et al. 2013

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An array of quartz crystals coated with different room-temperature ionic liquids (RTILs) is proposed for the analysis of flavors by quartz crystal microbalance (QCM) measurements. Seven RTILs were adopted as sensing layers, all containing imidazolium or phosphonium cations, differing from one another in the length and branching of alkyl groups and neutralized by different anions. The array was at first applied to the analysis of 31 volatile organic compounds (VOCs), such as alcohols, phenols, aldehydes, esters, ketones, acids, amines, hydrocarbons and terpenes, chosen as representative components of a wide variety of food flavors. Multivariate data analysis by the principal component analysis (PCA) approach of the set of the corresponding responses led to separated clusters for these different chemical categories. To further prove the good performance of the RTIL-coated quartz crystal array as an "electronic nose", it was applied to the analysis of headspaces from cinnamon samples belonging to different botanical varieties (Cinnamon zeylanicum and Cinnamon cassia). PCA applied to responses recorded on different stocks of samples of both varieties showed that they could be fully discriminated.

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Section: ■ Introductionmentioning

confidence: 99%

Room Temperature Ionic Liquids As Useful Overlayers for Estimating Food Quality from Their Odor Analysis by Quartz Crystal Microbalance Measurements

et al. 2013

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“…The center frequency of the SAW sensor was determined to be approximately 114 MHz [10]. The surface of the piezoelectric substrate was coated with a thin film of polymer, and the size of SAW sensor is 14 × 7.4 mm 2 .…”

Section: Proposed Saw Array and Its Interface Asicmentioning

confidence: 99%

“…Surface acoustic wave (SAW)-based gas sensors have the advantages of high sensitivity and fast response [9,10]. Readout circuits for SAW sensors have been developed for years; however, the corresponding power consumption is high and the data resolution is not sufficient for detecting gases at low concentration [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…Readout circuits for SAW sensors have been developed for years; however, the corresponding power consumption is high and the data resolution is not sufficient for detecting gases at low concentration [11,12]. In our previous work, we implemented a noncontinuous-type readout circuit with integrated circuits (ICs) [10]. We successfully reduced the power consumption to 1.48 mW and improved the resolution to 10 Hz.…”

Section: Introductionmentioning

confidence: 99%

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A Low Noise CMOS Readout Based on a Polymer-Coated SAW Array for Miniature Electronic Nose

Liu

Chiu

et al. 2016

Sensors

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An electronic nose (E-Nose) is one of the applications for surface acoustic wave (SAW) sensors. In this paper, we present a low-noise complementary metal–oxide–semiconductor (CMOS) readout application-specific integrated circuit (ASIC) based on an SAW sensor array for achieving a miniature E-Nose. The center frequency of the SAW sensors was measured to be approximately 114 MHz. Because of interference between the sensors, we designed a low-noise CMOS frequency readout circuit to enable the SAW sensor to obtain frequency variation. The proposed circuit was fabricated in Taiwan Semiconductor Manufacturing Company (TSMC) 0.18 μm 1P6M CMOS process technology. The total chip size was nearly 1203 × 1203 μm2. The chip was operated at a supply voltage of 1 V for a digital circuit and 1.8 V for an analog circuit. The least measurable difference between frequencies was 4 Hz. The detection limit of the system, when estimated using methanol and ethanol, was 0.1 ppm. Their linearity was in the range of 0.1 to 26,000 ppm. The power consumption levels of the analog and digital circuits were 1.742 mW and 761 μW, respectively.

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“…This paper presents the design of a two-layer hybrid navigation system for a quadrotor, called MF-BUG2, used to compute online and follow a path between a start and goal position in a multi-floor indoor scenario. The goal must be associated with some salient cue (visual, electromagnetical, olfactory [8]). The lower layer is based on the well-known BUG2 algorithm that implements a local navigation approach, as discussed before, and is responsible for navigating in the horizontal plane.…”

Section: Introductionmentioning

confidence: 99%

A Minimalistic Quadrotor Navigation Strategy for Indoor Multi-floor Scenarios

Marino

Mastrogiovanni

Sgorbissa

et al. 2015

Intelligent Autonomous Systems 13

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This paper presents the application of a minimalistic navigation strategy, based on the well-known BUG2 algorithm, to solve the problem of reaching a goal position in a multi-floor indoor scenario using a quadrotor. Examples of this scenario include buildings and in general cluttered indoor areas. As far as energy backup is concerned the quadrotor shows stricts constraints: for this reason implementing a lowconsumption navigation strategy is a major issue. We present a two-layer navigation strategy, called MF-BUG2, useful to navigate in multi-floor buildings starting from the ground floor toward the last or vice versa while searching for an interesting physical quantity (i.e,. gas leak, electromagnetic source). In the lower layer a BUGlike algorithm is able to drive the flying robot, equipped with a salient-cue sensor and a laser-range-finder, toward the estimated position of goal on the horizontal plane while avoiding obstacles and using minimal computational power and memory (the boundary-following behavior uses an Artificial Potential Field to navigate around the obstacles). If the estimated goal position is reached but the salient-cue-sensor does not detect a salient quantity the higher level of the planner calls Dijkstra algorithm to computes the minimum-distance path to change the floor, assuming to know in advance the 2D position of the passages among different floors, and then moves vertically. The overall strategy is usefull for indoor inspection in hazardous scenarios. The algorithm is validated in simulation, investigating the robustness with respect to the laser-range-finder noise.

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An Electronic-Nose Sensor Node Based on a Polymer-Coated Surface Acoustic Wave Array for Wireless Sensor Network Applications

Cited by 20 publications

References 27 publications

Room Temperature Ionic Liquids As Useful Overlayers for Estimating Food Quality from Their Odor Analysis by Quartz Crystal Microbalance Measurements

Room Temperature Ionic Liquids As Useful Overlayers for Estimating Food Quality from Their Odor Analysis by Quartz Crystal Microbalance Measurements

A Low Noise CMOS Readout Based on a Polymer-Coated SAW Array for Miniature Electronic Nose

A Minimalistic Quadrotor Navigation Strategy for Indoor Multi-floor Scenarios

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